Group 19
Objective: Understand patterns and correlations between early predictors Comorbidities and Etiologies, their numerical estimate CPS and Charlson index and cirrhosis’ patients outcome
Cirrhosis = condition in which the liver is scarred and permanently damaged.
Relevancy of the study: Cirrhosis is a leading cause of mortality in the world (11th), and finding accurate descriptive index is a useful tool to investigate the possible outcome of patients.
Cleaning:
Tidying:
Augmenting:
Etiology is the study of the factors that come together leading to a disease.
Comorbidity is an additional disease that can interact and coexist simultaneously with cirrhosis.
Bar plot which shows liver disease distribution, filled by mortality status
Demonstrates the impact of varying mortality rates base on liver diseases
Reveals differences in mortality timing between “Other fluid overload” and “SNB”
Tile chart reveals ratios for liver diseases and associate etiologies
High mortality for specific combinations like Hepatic encephalopathy/Auto-immune hepatitis.
Lower death ratios (<25%) for example for Hepatitis B or Non-alcoholic fatty liver disease.
Over representation of certain comorbidities
Overview: Logistic regression model
Variables: CPS & Mortality
Results: For every increased CPS unit, the likelihood for mortality increase by 50 %
Overview: Linear regression model
Variables: CPS & Etiologies
Results: Statistically significant result for nafld associated with low CPS
The type of the liver disease notably impacts the patient’s outcome
The difference in timing (less or more fulgurant) hint a varying disease severity
Lethal combinations of liver diseases and their associated etiologies can be identified
For every CPS unit increase there is a 50 % higher likelihood for mortality
According to the linear regression nafld is associated with low CPS